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Temperature Transferability of Force Field Parameters for Dispersion Interactions.
Zheng Gong1, Huai Sun1, Bruce E Eichinger2
1School of Chemistry and Chemical Engineering, Materials Genome Initiative Center, and Key Laboratory of Scientific and Engineering Computing of Ministry of Education , Shanghai Jiao Tong University , Shanghai 200240 , China.
Accurate prediction of material properties requires precise force fields. This study enhances atomistic force fields for organic molecules by adjusting dispersion parameters with temperature, improving accuracy across various conditions.
Area of Science:
- Computational chemistry
- Materials science
- Thermodynamics
Background:
- Accurate prediction of material thermodynamic properties relies on precise force fields.
- Atomistic force fields often underestimate dispersion interactions for organic molecules at elevated temperatures.
- This underestimation stems from decreased dielectric constants in bulk liquids as temperature increases.
Purpose of the Study:
- To improve the temperature transferability of atomistic force fields for organic molecules.
- To address the systematic underestimation of intermolecular dispersion interactions at higher temperatures.
- To develop a method for enhancing the accuracy of simulations across wide temperature ranges.
Main Methods:
- Parametrizing dispersion parameters as a linear function of temperature.
- Analyzing underestimates using diatomic molecules to identify contributing factors.
- Testing the enhanced force fields on 66 molecular liquids across four functional groups (alkane, aromatic, ether, ketone-aldehyde).
Main Results:
- Successfully enhanced the temperature transferability of atomistic force fields.
- The developed method accurately predicts properties for a diverse set of molecular liquids.
- Key thermodynamic properties like liquid density, heat of vaporization, heat capacity, and shear viscosity were calculated.
Conclusions:
- Adjusting dispersion parameters linearly with temperature significantly improves force field accuracy.
- This approach provides a more reliable method for simulating organic molecules over broad temperature ranges.
- The findings contribute to more accurate computational predictions in materials science and chemistry.
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